Refactor not applicable result method calls

Author: m7md7sien

sdk/evaluation/azure-ai-evaluation/azure/ai/evaluation/_evaluators/_tool_call_accuracy/_tool_call_accuracy.py

@@ -230,10 +230,9 @@ async def _do_eval(self, eval_input: Dict) -> Dict[str, Union[float, str]]:  # t
 
         # Check for intermediate response
         if _is_intermediate_response(eval_input.get("response")):
-            return self._not_applicable_result(
+            return self._return_not_applicable_result(
                 "Intermediate response. Please provide the agent's final response for evaluation.",
-                self.threshold,
-                has_details=True,
+                self.threshold
             )
 
         # Preprocess messages if they are lists
@@ -326,7 +325,7 @@ async def _real_call(self, **kwargs):
         eval_input = self._convert_kwargs_to_eval_input(**kwargs)
         if isinstance(eval_input, dict) and eval_input.get("error_message"):
             # If there is an error message, return not applicable result
-            return self._not_applicable_result(eval_input.get("error_message"), self.threshold, has_details=True)
+            return self._return_not_applicable_result(eval_input.get("error_message"), self.threshold)
         # Do the evaluation
         result = await self._do_eval(eval_input)
         # Return the result